% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35559 % Primary Name: NEMAHA % Record Type: TAVG % Country: United States % State: NE % Latitude: 40.36670 +/- 0.00005 % Longitude: -95.66670 +/- 0.00005 % Elevation (m): 303.92 +/- 56.78 % # of Months: 74 % % Alternate Names: Missing Station ID - 255850 % % IDs: coop - 255850 % ghcnd - USC00255850 % ncdc - 12003299 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 9b3bc9df1c494729c9644a625475eff8 % Raw Data Hash: 0e374142108b5ed3ae9df6919f3bbe4f % Adj Data Hash: 40983decda8d83ba168bf76de4ffc9b4 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1893 12 NaN NaN NaN NaN NaN NaN -3.026 -0.190 1894 1 NaN NaN NaN NaN NaN NaN -7.381 -0.838 1894 2 NaN NaN NaN NaN NaN NaN -6.324 -3.523 1894 3 NaN NaN NaN NaN NaN NaN 5.155 2.364 1894 4 NaN NaN NaN NaN NaN NaN 12.441 1.626 1894 5 NaN NaN NaN NaN NaN NaN 17.293 0.221 1894 6 NaN NaN NaN NaN NaN NaN 22.872 0.595 1894 7 NaN NaN NaN NaN NaN NaN 24.672 -0.173 1894 8 NaN NaN NaN NaN NaN NaN 24.808 1.211 1894 9 NaN NaN NaN NaN NaN NaN 18.784 0.192 1894 10 NaN NaN NaN NaN NaN NaN 12.422 0.141 1894 11 NaN NaN NaN NaN NaN NaN 1.945 -1.944 1894 12 0.229 2.133 1 0 NaN NaN -0.195 2.642 1895 1 -4.689 0.922 0 0 -4.689 0.922 -9.077 -2.534 1895 2 -2.126 -0.258 1 0 NaN NaN -6.477 -3.676 1895 3 4.337 0.613 0 0 4.337 0.613 2.033 -0.758 1895 4 13.833 2.086 0 0 13.833 2.086 13.787 2.972 1895 5 17.742 -0.263 0 0 17.742 -0.263 17.360 0.288 1895 6 NaN NaN NaN NaN NaN NaN 21.163 -1.115 1895 7 24.158 -1.620 0 0 24.158 -1.620 22.981 -1.864 1895 8 22.778 -1.753 0 0 22.778 -1.753 22.820 -0.778 1895 9 22.519 2.994 0 0 22.519 2.994 20.798 2.207 1895 10 8.853 -4.360 0 0 8.853 -4.360 9.692 -2.588 1895 11 2.407 -2.415 0 0 2.407 -2.415 2.371 -1.518 1895 12 -1.452 0.452 0 0 -1.452 0.452 -2.199 0.638 1896 1 -2.581 3.030 0 0 -2.581 3.030 -4.084 2.460 1896 2 0.939 2.806 1 0 NaN NaN -0.358 2.443 1896 3 0.950 -2.774 0 0 0.950 -2.774 -0.706 -3.497 1896 4 15.259 3.512 0 0 15.259 3.512 13.825 3.010 1896 5 20.197 2.192 0 0 20.197 2.192 18.892 1.819 1896 6 22.167 -1.044 0 0 22.167 -1.044 21.815 -0.462 1896 7 24.498 -1.280 0 0 24.498 -1.280 23.506 -1.339 1896 8 23.133 -1.397 0 0 23.133 -1.397 22.650 -0.948 1896 9 15.481 -4.043 0 0 15.481 -4.043 15.337 -3.254 1896 10 10.484 -2.729 0 0 10.484 -2.729 10.266 -2.014 1896 11 -1.185 -6.007 0 0 -1.185 -6.007 -0.894 -4.783 1896 12 0.161 2.065 0 0 0.161 2.065 1.090 3.927 1897 1 -5.466 0.145 0 0 -5.466 0.145 -7.452 -0.909 1897 2 -1.049 0.818 1 0 NaN NaN -2.825 -0.024 1897 3 1.989 -1.735 0 0 1.989 -1.735 0.754 -2.037 1897 4 9.796 -1.951 0 0 9.796 -1.951 10.023 -0.792 1897 5 16.322 -1.683 0 0 16.322 -1.683 15.826 -1.246 1897 6 23.759 0.549 0 0 23.759 0.549 22.127 -0.150 1897 7 26.828 1.050 0 0 26.828 1.050 25.459 0.613 1897 8 22.312 -2.219 0 0 22.312 -2.219 21.463 -2.134 1897 9 22.519 2.994 0 0 22.519 2.994 22.337 3.746 1897 10 13.763 0.551 0 0 13.763 0.551 14.748 2.468 1897 11 1.093 -3.729 0 0 1.093 -3.729 2.023 -1.866 1897 12 -5.932 -4.028 0 0 -5.932 -4.028 -6.425 -3.589 1898 1 -2.778 2.833 0 0 -2.778 2.833 -4.227 2.317 1898 2 -0.794 1.074 0 0 -0.794 1.074 -2.142 0.659 1898 3 4.068 0.344 0 0 4.068 0.344 2.874 0.083 1898 4 10.463 -1.285 0 0 10.463 -1.285 10.129 -0.686 1898 5 16.720 -1.285 0 0 16.720 -1.285 15.638 -1.434 1898 6 24.537 1.327 1 0 NaN NaN 22.809 0.532 1898 7 25.323 -0.455 0 0 25.323 -0.455 23.799 -1.046 1898 8 25.878 1.348 0 0 25.878 1.348 23.995 0.397 1898 9 19.889 0.365 0 0 19.889 0.365 18.914 0.323 1898 10 9.086 -4.127 0 0 9.086 -4.127 9.844 -2.436 1898 11 -0.056 -4.878 0 0 -0.056 -4.878 0.898 -2.991 1898 12 -6.165 -4.261 0 0 -6.165 -4.261 -6.184 -3.347 1899 1 -4.337 1.274 0 0 -4.337 1.274 -5.973 0.571 1899 2 -9.643 -7.775 0 0 -9.643 -7.775 -10.124 -7.324 1899 3 -1.398 -5.122 0 0 -1.398 -5.122 -3.434 -6.226 1899 4 10.670 -1.077 0 0 10.670 -1.077 10.251 -0.563 1899 5 17.741 -0.265 0 0 17.741 -0.265 16.769 -0.303 1899 6 22.611 -0.599 0 0 22.611 -0.599 22.247 -0.030 1899 7 25.077 -0.701 0 0 25.077 -0.701 23.430 -1.415 1899 8 25.444 0.914 0 0 25.444 0.914 24.221 0.623 1899 9 18.926 -0.598 0 0 18.926 -0.598 17.916 -0.675 1899 10 14.337 1.124 0 0 14.337 1.124 15.278 2.998 1899 11 8.008 3.186 0 0 8.008 3.186 7.400 3.510 1899 12 -2.975 -1.071 0 0 -2.975 -1.071 -4.124 -1.287 1900 1 -1.259 4.351 0 0 -1.259 4.351 -2.987 3.556 1900 2 -6.825 -4.958 0 0 -6.825 -4.958 -8.005 -5.205 1900 3 2.168 -1.556 0 0 2.168 -1.556 1.101 -1.690 1900 4 13.056 1.308 0 0 13.056 1.308 12.515 1.700 1900 5 19.444 1.439 0 0 19.444 1.439 18.213 1.141 1900 6 24.074 0.864 0 0 24.074 0.864 22.111 -0.166 1900 7 25.430 -0.348 0 0 25.430 -0.348 24.227 -0.619 1900 8 26.452 1.921 0 0 26.452 1.921 25.327 1.729 1900 9 19.185 -0.339 0 0 19.185 -0.339 18.482 -0.109 1900 10 14.068 0.855 0 0 14.068 0.855 15.990 3.710 1900 11 5.556 0.734 0 0 5.556 0.734 2.224 -1.665 1900 12 2.670 4.574 0 0 2.670 4.574 -0.894 1.943 1901 1 -0.305 5.306 0 0 -0.305 5.306 -4.224 2.319 1901 2 -2.718 -0.851 0 0 -2.718 -0.851 -5.861 -3.060 1901 3 NaN NaN NaN NaN NaN NaN 1.801 -0.990 1901 4 NaN NaN NaN NaN NaN NaN 10.716 -0.099 1901 5 NaN NaN NaN NaN NaN NaN 16.214 -0.859 1901 6 NaN NaN NaN NaN NaN NaN 23.260 0.983 1901 7 NaN NaN NaN NaN NaN NaN 28.966 4.120 1901 8 NaN NaN NaN NaN NaN NaN 24.126 0.528 1901 9 NaN NaN NaN NaN NaN NaN 17.706 -0.886 1901 10 NaN NaN NaN NaN NaN NaN 13.578 1.298 1901 11 NaN NaN NaN NaN NaN NaN 3.772 -0.117 1901 12 NaN NaN NaN NaN NaN NaN -5.163 -2.326 1902 1 NaN NaN NaN NaN NaN NaN -5.161 1.383 1902 2 NaN NaN NaN NaN NaN NaN -6.852 -4.052